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Evolution PhD Projects, Programs & Scholarships in Birmingham

We have 6 Evolution PhD Projects, Programs & Scholarships in Birmingham

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  Evolutionary game theory and population dynamics
  Dr H Duong
Applications accepted all year round

Funding Type

PhD Type

Evolutionary Game Theory (EGT) [MSP73] has proven to be a powerful and versatile mathematical framework for the modelling and analysis of complex biological (and economical) systems whenever there is frequency dependent selection.
  Using live-cell imaging of the immune response to investigate host-pathogen interactions during infection.
  Prof R May
Application Deadline: 10 January 2020

Funding Type

PhD Type

My group is interested in the molecular and cellular mechanisms that occur during host-pathogen interactions.
  Stochastic Multiscale Model of Evolutionary Competition of Molecules
  Dr F Spill
Applications accepted all year round

Funding Type

PhD Type

Oligonucleotides are not only the careers of genetic information. They can also form complex 3D structures with diverse chemical properties.
  Dynamic interplay of cell shape and tumour evolution
  Dr F Spill, Prof I Tomlinson
Applications accepted all year round

Funding Type

PhD Type

Tumour cells are long known to appear in vastly diverse shapes, both across patients and within a single tumour. This is in stark contrast to the regularity of cell shapes of healthy epithelial tissues from which most tumours originate.
  Integrated mathematical modelling and experimental research into interactions between microorganisms
  Dr J U Kreft
Applications accepted all year round

Funding Type

PhD Type

Our group aims to combine theoretical & experimental approaches to understand major problems in the ecology and evolution of microbes.
  Statistical genetics and genomics of complex traits
  Dr L Leach, Prof Z Luo
Applications accepted all year round

Funding Type

PhD Type

A highly motivated student is sought to train as a statistical geneticist working on the dissection of complex trait phenotypes in human, plant and animal populations into their underlying genetic components.
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